Abstract
In this study, a new configuration for all electric independent driving and braking electric vehicle of dual axles is proposed based on the driving ability requirement of dual axle independent driving electric vehicle on the weak adhesion pavement and the advantage of electromechanical brake system (EMB). The working principle and scheme of traction control system (TCS) for this configuration is given. The TCS control scheme is proposed based on BP neural network PID algorithm. The simulation platform is developed and it includes vehicle model, motor model, driveline model, EMB model, tire model and so on. The acceleration performance is verified by simulation on the separated pavements. The results show that the speed of wheels which are on the low adhesion pavement can be controlled near the target value. The vehicle driving ability is improved effectively. For example, the acceleration time with TCS control can be reduced by 64.04% compared with no TCS situation, when the adhesion coefficient of separated pavement is 0.7/0.1.
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